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21 changes: 21 additions & 0 deletions TXTfpbsupervisedBERT/Metainfo.txt
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Name of QuantLet : TXTfpbsupervisedBERT

Published in : TXT

Description : ‘Sentiment classification using BERT (Devlin et al, 2018).
The results are evaluated using Malo et al. (2014)’s « Sentences_66Agree.txt ». We use Support Vector Machine (SVM) as a baseline.

This training set is available at
https://www.researchgate.net/publication/251231364_FinancialPhraseBank-v10

The tutorial used for training BERT can be found here: https://medium.com/@abhikjha/fastai-integration-with-bert-a0a66b1cecbe
The adaptation of the code to our case for training BERT can be found here: https://colab.research.google.com/drive/11zeT5R3mGAiaQ9Vu5J7ujoFGOMbky6qV


Keywords : text mining, sentiment, classification, transfer learning, BERT, support vector machine

See also : TXTfpbsupervised for SVM baseline

Author : Manuel Tonneau

Submitted : Thu, Sep 5 2019 by Manuel Tonneau